Phone: 86-27-87543576

Email: cgao@hust.edu.cn

Academic Areas: computer vision, machine learning, image processing

Research Interests:

Changxin Gao is a Lecturer with the School of Automation, Huazhong University of Science and Technology, Wuhan, China. He received the B.S. degree and the Ph.D. degree both from Huazhong University of Science and Technology in 2005 and 2010. From 2012 to 2013, He was a postdoctoral researcher in ICTEAM at Université Catholique de Louvain.  His research interest includes computer vision, specifically on object detection, object tracking, image and video semantic understanding.    

Academic Degrees

Sep. 2001-Jun. 2005
      Huazhong University of Science and Technology
      B. S. in Optical Information Science and Technology
Sep. 2005-Jun. 2010
      Huazhong University of Science and Technology
      Ph. D. in Pattern Recognition and Intelligent Systems

Professional Experience

Apr. 2013- present: Lecturer, School of Automation, HUST
Mar. 2012-Mar. 2013
Postdoctoral researcher, ICTEAM, Université Catholique de Louvain, Belgium.
Jul. 2010-Mar. 2012
Postdoctoral researcher, Institute for Pattern Recognition and Artificial Intelligence, HUST

Selected Publications

1. Changxin Gao, Feifei Chen, Jin-Gang Yu, Rui Huang, Nong Sang*, "Robust Visual Tracking Using Exemplar-based Detectors," IEEE Transactions on Circuits and Systems for Video Technology, to appear, 2016 

2. Changxin Gao*, Nong Sang, Rui Huang. "Biologically Inspired Scene Context for Object Detection Using a Single Instance," PLoS ONE, 2014, 9(5):e98477

3. Changxin Gao, Nong Sang*, and Rui Huang, "Instance-based attention: where could humans look first when searching for an object instance," Optics Letters, 2012, 37(1):76-78.

4. Changxin Gao, Nong Sang, and Qiling Tang, "On selection and combination of weak learners in AdaBoost," Pattern Recognition letters, 2010, 31(9):991-1001.

5. Changxin Gao, and Nong Sang, "Biologically inspired template matching using scene context," Proceedings of IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops), Colorado Springs, United States, 2011.

6. Changxin Gao, Feifei Chen, Jin-Gang Yu, Rui Huang, Nong Sang. "Exemplar-based Linear Discriminant Analysis for Robust Object Tracking," ICIP, 2014, pp.388-392.

7. Changxin Gao, Nong Sang, Rui Huang, "Online Transfer Boosting for object tracking," Proceedings of International Conference on Pattern Recognition (ICPR), 2012, pp:906-909.

8. Jin-Gang Yu, Gui-Song Xia, Changxin Gao*, Ashok Samal, "A Computational Model for Object-Based Visual Saliency: Spreading Attention along Gestalt Cues," IEEE Transactions on Multimedia, 18(2):273-286, 2016

9. Jun Xiang, Nong Sang, Jianhua Hou, Rui Huang, Changxin Gao*, "Multi-target Tracking Using Hough Forest Random Field," IEEE Transactions on Circuits and Systems for Video Technology, to appear, 2016. 

10. Jin-Gang Yu, Changxin Gao*, Jinwen Tian. "Collaborative multicue fusion using the cross-diffusion process for salient object detection," Journal of the Optical Society of America A-Optics Image Science and Vision, 33(3):404-415, 2016.

11. Chang Han, Hongyan Zhang*, Changxin Gao, Cheng Jiang, Nong Sang, Liangpei Zhang. "A Remote Sensing Image Fusion Method Based on the Analysis Sparse Model," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(1):439-453, 2016. 

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